class_docstr: Base Class from Normalizing flows
  
  Args:
      model_config (BaseNFConfig): The configuration setting the main parameters of the
          model.
docstr: Method that allows model update during the training (at the end of a training epoch)
  
  If needed, this method must be implemented in a child class.
  
  By default, it does nothing.
docstr_tok: ["Method","that","allows","model","update","during","the","training","(","at","the","end","of","a","training","epoch",")","If","needed",",","this","method","must","be","implemented","in","a","child","class",".","By","default",",","it","does","nothing","."]
code: def update(self):
      """Method that allows model update during the training (at the end of a training epoch)
  
      If needed, this method must be implemented in a child class.
  
      By default, it does nothing.
      """
  
imports: import os
  import sys
  from copy import deepcopy
  import numpy
  import torch
  import torch.nn
  from ....data.datasets import BaseDataset
  from ...auto_model import AutoConfig
  from ...base.base_config import EnvironmentConfig
  from ...base.base_utils import ModelOutput
  from .base_nf_config import BaseNFConfig
label_desc: Use image node_id 4 for calling the BaseNF obj's underlying member method code with example usage: obj.update() without return types